Evaluating subsampling strategies for sEMG-based prediction of voluntary muscle contractions

Koiva R, Hilsenbeck B, Castellini C (2013)

Publication Type: Conference contribution

Publication year: 2013

Journal

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: IEEE International Conference on Rehabilitation Robotics

Event location: USA

ISBN: 9781467360241

DOI: 10.1109/ICORR.2013.6650492

Abstract

In previous work we showed that some human Voluntary Muscle Contractions (VMCs) of high interest to the prosthetics community, namely finger flexions/extensions and thumb rotation, can be effectively predicted using muscle activation signals coming from surface electromyography (sEMG). In this paper we study the effectiveness of various subsampling strategies to limit the size of the training data set, with the aim of extending the approach to an online VMC-prediction system whose main application will be force-controlled hand prostheses. We performed an experiment in which 10 able-bodied participants flexed and extended their fingers according to a visual stimulus, while muscle activations and VMCs (represented as synergistic fingertip forces) were gathered using sEMG electrodes and a custom-built measurement device. A Support Vector Machine (SVM) was trained on a fixed-sized subset of the collected data, obtained using seven different subsampling strategies. The SVM was then tested on subsequent new data. Our experimental results show that two subsampling strategies attain a prediction error as low as 6% to 12%, which is comparable to the error values obtained in our previous work when the entire data set was used and processed offline. © 2013 IEEE.

Authors with CRIS profile

Claudio Castellini

Involved external institutions

Universität Bielefeld DE Germany (DE) Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) / German Aerospace Center DE Germany (DE)

How to cite

APA:

Koiva, R., Hilsenbeck, B., & Castellini, C. (2013). Evaluating subsampling strategies for sEMG-based prediction of voluntary muscle contractions. In IEEE International Conference on Rehabilitation Robotics. USA.

MLA:

Koiva, Risto, Barbara Hilsenbeck, and Claudio Castellini. "Evaluating subsampling strategies for sEMG-based prediction of voluntary muscle contractions." Proceedings of the 2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013, USA 2013.

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